Great job, great company, but not perfect - Senior Software Engineer Bloomberg Employee Review

4.0
Mar 1, 2019
Recommend
CEO approval
Business Outlook

Pros

A lot of bright people working with you or near you, agile is growing in the company, good work environment, nice desks, there is the pantry, which is really nice, view to St Pauls, nice perks, many courses to learn new things, in most teams a relaxed environment, you work for someone much better than Trump.

Cons

Not a good place to cause an impact. Few opportunities to do that there. There is some micro management, not as bad as in many other places I worked, but it's at least "mili-management", they don't monitor what you're doing all the time but many decisions about products come top-down without anyone asking your opinion. Also, there is little proximity between R&D and business areas, I think only high management has a good vision of how the company is placed in the market. Career progression is many times political decision, not tied at all to results. I see many people in management areas who are really good, but others that you really ask your self - why? What's that person doing as a manager? How did that happen?

Explore other reviews about Bloomberg

5.0
Jun 11, 2026
Recommend
CEO approval
Business Outlook

Pros

Great company, in this role you have the chance to learn about the financial markets, the terminal, and also you get client exposure.

Cons

Not really cons, culture is great.

4.0
Jun 28, 2026
Recommend
CEO approval
Business Outlook

Pros

Opportunities to do lots of work with data and finance to apply knowledge in both programming and Subject-Matter Expertise (SME). Excellent Work-Life Balance (WLB) and extremely welcoming culture. You can reach out to anyone for help or just to talk, and they will get back to you (although management does require more scheduling in advance). Generous compensation (good wage) and benefits, including housing for interns. If you heard the rumors that the Bloomberg Princeton office has a great Bloomberg Pantry (read: company-provided breakfast and lunch), the rumors are true.

Cons

Not the place for those looking for cutting-edge AI. The company is not as fast with AI as the company prioritizes reliability and accuracy above all, and much of AI is not at an acceptable threshold for management to be willing to take that risk with financial data (at least in 2026). You may get a project to automate menial processes, which is really cool, but that tends to involve actually doing the menial processes, which feels unproductive. Princeton office is good but New York is considered preferable. Coworkers are not very reachable outside of work hours. Compensation is low in Data compared to Software Engineers.

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